Book Image

Delphi High Performance - Second Edition

By : Primož Gabrijelčič
5 (1)
Book Image

Delphi High Performance - Second Edition

5 (1)
By: Primož Gabrijelčič

Overview of this book

Performance matters! Users hate to use programs that are not responsive to interactions or run too slow to be useful. While becoming a programmer is simple enough, you require dedication and hard work to achieve an advanced level of programming proficiency where you know how to write fast code. This book begins by helping you explore algorithms and algorithmic complexity and continues by describing tools that can help you find slow parts of your code. Subsequent chapters will provide you with practical ideas about optimizing code by doing less work or doing it in a smarter way. The book also teaches you how to use optimized data structures from the Spring4D library, along with exploring data structures that are not part of the standard Delphi runtime library. The second part of the book talks about parallel programming. You’ll learn about the problems that only occur in multithreaded code and explore various approaches to fixing them effectively. The concluding chapters provide instructions on writing parallel code in different ways – by using basic threading support or focusing on advanced concepts such as tasks and parallel patterns. By the end of this book, you’ll have learned to look at your programs from a totally different perspective and will be equipped to effortlessly make your code faster than it is now.
Table of Contents (15 chapters)

Best Practices

This book has covered lots of different topics. I believe that, right now, it has all become a big mess, from which you can only remember bits and pieces. I know I can’t handle it all in my head at this moment. There’s just too much information packed in here.

To help you remember as much as possible, this last chapter will revisit all the topics of the book, chapter by chapter. I’ll repeat the most important ideas from each chapter, while you can just relax and remember all the details. For good measure, I’ll throw in some additional tips, tricks, and techniques that didn’t find a place in the “regular” chapters.

In this chapter, you won’t learn much new. You will, however, be able to review the following topics:

  • How do we classify algorithm complexity?
  • With what tools can we measure code performance?
  • Why is the simplest way to make programs faster to execute less code?
  • Where can we find...